My Interactive Quarto Report

This is an example of an interactive quarto report.

Interactive Plot

# R code chunk for creating an interactive plot with plotly
library(plotly)

## Loading required package: ggplot2

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

data1<-read.csv("unicef_indicator_1.csv")
data2<-read.csv("unicef_indicator_2.csv")
# Create an example dataset
data <- data.frame(
  x = c(1, 2, 3, 4, 5),
  y = c(10, 11, 12, 13, 14)
)

# Create a plotly plot
plot <- plot_ly(data, x = ~x, y = ~y, type = "scatter", mode = "lines+markers")

# Add interactive features
plot <- plot %>% 
  layout(title = "Interactive Line Plot",
         xaxis = list(title = "X-axis Label"),
         yaxis = list(title = "Y-axis Label"))

# Render the plot
plot

# R code chunk for creating an interactive table with DT
library(DT)

# Create an example dataset
data <- data.frame(
  Name = c("John", "Alice", "Bob", "Charlie"),
  Age = c(25, 30, 28, 35),
  Gender = c("Male", "Female", "Male", "Male")
)

# Create a DT datatable
datatable(data, options = list(pageLength = 5), rownames = FALSE)

library(png)

# Read PNG image file
image <- readPNG("MT5000.png")

# Display the image
plot(0, 0, type = "n", xlim = c(0, 1), ylim = c(0, 1), xaxt = "n", yaxt = "n", ann = FALSE)
rasterImage(image, 0, 0, 1, 1)

library(ggplot2)

data_Bhutan<-subset(data1,country=="Bhutan")
# Create the plot object
plot <- ggplot(data = data_Bhutan)


# Add the bar chart layer with customized labels
plot +
  geom_bar(aes(x = time_period , y = obs_value), stat = "identity", fill = "Blue" ) +
  labs(title = "Bhutan Sewage Time Series", x = "Observed Values", y = "Time Period") +
  theme_minimal()

library(ggplot2)
country_name <- readline(prompt = "Enter country name: ")

## Enter country name:

data2_Bhutan<-subset(data2,country==country_name)
# Create the plot object
plot <- ggplot(data = data2_Bhutan)


# Add the bar chart layer with customized labels
plot +
  geom_bar(aes(x = time_period , y = obs_value), stat = "identity", fill = "Pink" ) +
  labs(title = "Observed Values by Time Period", x = "Observed Values", y = "Time Period") +
  theme_minimal()

Create a new quarto project

Create a new markdown file for the report

My Interactive Quarto Report

Interactive Plot